Azure Data Engineer | Snowflake & DBT Expert | Building Scalable Cloud Data Solutions

I’m a senior data engineering professional with over 12 years of experience designing and delivering robust, cloud-native data platforms. My expertise spans across the modern data stack and traditional BI systems, enabling me to support clients through greenfield builds, migrations, and hybrid architectures.
I specialize in cloud-based data engineering using Azure and AWS, with deep hands-on experience in tools like dbt (Core & Cloud), Snowflake, Azure Data Factory (ADF), Azure Databricks, Synapse, Power BI, Matillion, and Amazon S3. I have delivered full-stack data pipelines from ingestion to transformation to visualization — helping businesses modernize their data workflows, optimize performance, and unlock actionable insights.
In Azure, I’ve built scalable solutions using ADF, Databricks (PySpark/SparkSQL), ADLS Gen2, Azure Synapse Analytics, Azure Analysis Services, and Azure Data Explorer (Kusto). On AWS, I’ve worked with Redshift, Matillion, and S3 to orchestrate ELT pipelines for high-volume data use cases. I’m also proficient in SQL (T-SQL, PL/SQL), DAX, KQL, and Python (for PySpark and scripting).
Throughout my career, I’ve worked across diverse domains — including Banking, Credit Services, Insurance, Retail, and Restaurant Analytics — delivering projects such as:

• Migrating legacy data warehouses to Snowflake with dbt-based transformation pipelines
• Building lakehouse architectures on Azure Databricks with Delta Lake
• Implementing governed metadata solutions using Azure Purview
• Creating business-critical dashboards using Power BI and SSRS

I also bring experience with legacy BI systems like SSIS, SSRS, and MSBI, giving me the flexibility to bridge modern tools with existing enterprise setups.
Clients value my ability to work independently, document clearly, and deliver scalable, production-ready solutions. I can integrate quickly with existing teams or lead architecture and implementation from scratch.
I'm based in India and available to work with global clients, especially in US, EU, UK, Australia, and New Zealand time zones, with flexible overlap hours to ensure smooth collaboration.